SLA Monitoring
FollowAI monitors support response and resolution commitments, predicts overdue cases, alerts owners, and connects SLA performance to the customer-service workflow.
SLA monitoring turns a promise such as “reply within four hours” into a live operational queue. The system starts the clock when a request arrives, pauses it only under an explicit rule, warns the owner before the deadline, and records what happened. A support manager can see which queues are healthy and which customers are about to wait too long.
FollowAI connects SLA logic to the case record, routing, escalation, and reporting instead of leaving it as a monthly spreadsheet. The goal is not to punish a team with a timer. It is to make the next action visible while there is still time to take it.
From promise to action
What an SLA system must define
| Decision | Example |
|---|---|
| Clock start | New case, first message, payment failure, or urgent event |
| Clock stop | First useful response, resolution, or confirmed handoff |
| Pause rule | Waiting for customer information or an approved external dependency |
| Priority | Critical outage, high-value account, standard request, or low urgency |
| Escalation | Notify owner, manager, specialist, or customer success lead |
Without those definitions, a dashboard can show precise but meaningless numbers. We also separate response SLA from resolution SLA; replying “we received your message” is not the same as solving the issue.
How FollowAI operates it
The system can create the clock when a case enters the CRM, notify an owner in Telegram or another work channel, reassign an unowned case, add a task, and escalate when the remaining time crosses a threshold. A dashboard shows backlog by age, queue, owner, priority, channel, and outcome. The review loop explains why cases miss: routing, missing knowledge, integration failure, staffing, or an unrealistic promise.
What FollowAI can build
FollowAI can build SLA timers, business-hour calendars, priority rules, alerts, dashboards, escalation, customer updates, and improvement queues around the support system you already use or the CRM we build for you. The result is an operation that acts on service risk while it is still recoverable.
Want FollowAI to build this for your business?
Tell us where customers contact you, what they ask most often, and which actions the system should be allowed to take.
Sources
- FollowAI Customer Support & Service systemPrimary source